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Items: 1 to 20 of 187

1.

Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer.

Kamitani T, Matsuo Y, Yabuuchi H, Fujita N, Nagao M, Jinnouchi M, Yonezawa M, Yamasaki Y, Tokunaga E, Kubo M, Yamamoto H, Yoshiura T, Honda H.

Magn Reson Med Sci. 2013;12(3):193-9. Epub 2013 Jul 12.

2.

Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla.

Park SH, Choi HY, Hahn SY.

J Magn Reson Imaging. 2015 Jan;41(1):175-82. doi: 10.1002/jmri.24519. Epub 2013 Dec 18.

PMID:
24353241
3.

Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Kim SH, Cha ES, Kim HS, Kang BJ, Choi JJ, Jung JH, Park YG, Suh YJ.

J Magn Reson Imaging. 2009 Sep;30(3):615-20. doi: 10.1002/jmri.21884.

PMID:
19711411
4.

Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer.

Choi SY, Chang YW, Park HJ, Kim HJ, Hong SS, Seo DY.

Br J Radiol. 2012 Aug;85(1016):e474-9. doi: 10.1259/bjr/79381464. Epub 2011 Nov 29.

5.

Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes.

Youk JH, Son EJ, Chung J, Kim JA, Kim EK.

Eur Radiol. 2012 Aug;22(8):1724-34. doi: 10.1007/s00330-012-2425-2. Epub 2012 Apr 17.

PMID:
22527371
6.

Correlations between diffusion-weighted imaging and breast cancer biomarkers.

Martincich L, Deantoni V, Bertotto I, Redana S, Kubatzki F, Sarotto I, Rossi V, Liotti M, Ponzone R, Aglietta M, Regge D, Montemurro F.

Eur Radiol. 2012 Jul;22(7):1519-28. doi: 10.1007/s00330-012-2403-8. Epub 2012 Mar 13.

PMID:
22411304
7.

Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings.

Woodhams R, Kakita S, Hata H, Iwabuchi K, Umeoka S, Mountford CE, Hatabu H.

AJR Am J Roentgenol. 2009 Jul;193(1):260-6. doi: 10.2214/AJR.08.1670.

PMID:
19542422
8.

Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma.

Kim EJ, Kim SH, Park GE, Kang BJ, Song BJ, Kim YJ, Lee D, Ahn H, Kim I, Son YH, Grimm R.

J Magn Reson Imaging. 2015 Dec;42(6):1666-78. doi: 10.1002/jmri.24934. Epub 2015 Apr 27.

PMID:
25919239
9.

Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.

Koo HR, Cho N, Song IC, Kim H, Chang JM, Yi A, Yun BL, Moon WK.

J Magn Reson Imaging. 2012 Jul;36(1):145-51. doi: 10.1002/jmri.23635. Epub 2012 Mar 5.

PMID:
22392859
10.

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Belli P, Costantini M, Bufi E, Giardina GG, Rinaldi P, Franceschini G, Bonomo L.

Radiol Med. 2015 Mar;120(3):268-76. doi: 10.1007/s11547-014-0442-8. Epub 2014 Aug 6.

PMID:
25096888
11.

Is there different correlation with prognostic factors between "non-mass" and "mass" type invasive ductal breast cancers?

Jiang L, Zhou Y, Wang Z, Lu X, Chen M, Zhou C.

Eur J Radiol. 2013 Sep;82(9):1404-9. doi: 10.1016/j.ejrad.2013.03.006. Epub 2013 Mar 27.

PMID:
23540946
12.

ADC mapping of benign and malignant breast tumors.

Woodhams R, Matsunaga K, Kan S, Hata H, Ozaki M, Iwabuchi K, Kuranami M, Watanabe M, Hayakawa K.

Magn Reson Med Sci. 2005;4(1):35-42.

13.

Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors.

Razek AA, Gaballa G, Denewer A, Nada N.

NMR Biomed. 2010 Jul;23(6):619-23. doi: 10.1002/nbm.1503.

PMID:
20232453
14.

Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Partridge SC, DeMartini WB, Kurland BF, Eby PR, White SW, Lehman CD.

AJR Am J Roentgenol. 2009 Dec;193(6):1716-22. doi: 10.2214/AJR.08.2139.

PMID:
19933670
15.

Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma.

Jeh SK, Kim SH, Kim HS, Kang BJ, Jeong SH, Yim HW, Song BJ.

J Magn Reson Imaging. 2011 Jan;33(1):102-9. doi: 10.1002/jmri.22400.

PMID:
21182127
16.

Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters.

Mori N, Ota H, Mugikura S, Takasawa C, Tominaga J, Ishida T, Watanabe M, Takase K, Takahashi S.

Eur Radiol. 2013 Oct;23(10):2705-12. doi: 10.1007/s00330-013-2902-2. Epub 2013 Jun 4.

PMID:
23732688
17.

Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.

Durando M, Gennaro L, Cho GY, Giri DD, Gnanasigamani MM, Patil S, Sutton EJ, Deasy JO, Morris EA, Thakur SB.

Eur J Radiol. 2016 Sep;85(9):1651-8. doi: 10.1016/j.ejrad.2016.06.019. Epub 2016 Jun 28.

PMID:
27501902
18.

Apparent diffusion coefficient in estrogen receptor-positive invasive ductal breast carcinoma: correlations with tumor-stroma ratio.

Ko ES, Han BK, Kim RB, Cho EY, Ahn S, Nam SJ, Ko EY, Shin JH, Hahn SY.

Radiology. 2014 Apr;271(1):30-7. doi: 10.1148/radiol.13131073. Epub 2013 Nov 21.

PMID:
24475830
19.

Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study.

Iima M, Le Bihan D, Okumura R, Okada T, Fujimoto K, Kanao S, Tanaka S, Fujimoto M, Sakashita H, Togashi K.

Radiology. 2011 Aug;260(2):364-72. doi: 10.1148/radiol.11101892. Epub 2011 Jun 1.

PMID:
21633054
20.

Diffusion-weighted MRI in rectal cancer: apparent diffusion coefficient as a potential noninvasive marker of tumor aggressiveness.

Curvo-Semedo L, Lambregts DM, Maas M, Beets GL, Caseiro-Alves F, Beets-Tan RG.

J Magn Reson Imaging. 2012 Jun;35(6):1365-71. doi: 10.1002/jmri.23589. Epub 2012 Jan 23.

PMID:
22271382

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